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Fig. 1 | BMC Medical Genomics

Fig. 1

From: Integrating heterogeneous genomic data to accurately identify disease subtypes

Fig. 1

Graphic representations of the simulation process. A total of five simulated datasets were generated. Each dataset was simulated by firstly constructing two prototype data types and then adding noise (represented by the shadows in the figure with different shadow types representing different noise types). Simulated dataset 1 (SD1) simulated the impacts of different scales on the integrative analyses through scaling in different ways of the same prototype dataset adding the same type and size of noise. SD2 simulated the impacts of different types of noise on the integrative analyses through adding different types of noise to the same prototype dataset. SD3 simulated the impacts of different sizes of noise through adding different sizes but the same type of noise to the same prototype dataset. SD4 simulated the impacts of incompleteness of patient relationships through constructing partially clustered prototype datasets. SD5 simulated the impacts of conflicting patient relationships through constructing conflicting clustered prototype datasets

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